Explainable Neural Networks Based on Fuzzy Logic and Multi-criteria Decision Tools: 408 (Studies in Fuzziness and Soft Computing) - Hardcover

Dombi, József; Csiszár, Orsolya

Hardcover

ISBN 10: 3030722791 ISBN 13: 9783030722791

Verlag: Springer, 2021

Inhaltsangabe

The research presented in this book shows how combining deep neural networks with a special class of fuzzy logical rules and multi-criteria decision tools can make deep neural networks more interpretable - and even, in many cases, more efficient. 

Fuzzy logic together with multi-criteria decision-making tools provides very powerful tools for modeling human thinking. Based on their common theoretical basis, we propose a consistent framework for modeling human thinking by using the tools of all three fields: fuzzy logic, multi-criteria decision-making, and deep learning to help reduce the black-box nature of neural models; a challenge that is of vital importance to the whole research community.

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The research presented in this book shows how combining deep neural networks with a special class of fuzzy logical rules and multi-criteria decision tools can make deep neural networks more interpretable and even, in many cases, more efficient. 

Fuzzy logic together with multi-criteria decision-making tools provides very powerful tools for modeling human thinking. Based on their common theoretical basis, we propose a consistent framework for modeling human thinking by using the tools of all three fields: fuzzy logic, multi-criteria decision-making, and deep learning to help reduce the black-box nature of neural models; a challenge that is of vital importance to the whole research community.

Details zur Ausgabe

• Verlag: Springer
• Erscheinungsdatum: 2021
• Sprache: Englisch
• ISBN 10: 3030722791
• ISBN 13: 9783030722791
• Einband: Tapa dura
• Auflage: 1
• Anzahl der Seiten: 196
• Kontakt zum Hersteller: Nicht verfügbar